2018
EMNLP
EMNLP 2018
Learning Explanations from Language Data
Abstract
AbstractPatternAttribution is a recent method, introduced in the vision domain, that explains classifications of deep neural networks. We demonstrate that it also generates meaningful interpretations in the language domain.
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning
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Trend Setter
— Interpretability
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Keyword Pioneer
— pattern attribution
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Hot Topic Early Bird
— feature attribution
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio